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Dec, 2020
关于多对象遮挡的鲁棒实例分割推理
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
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Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan Yuille
TL;DR
本研究提出了一种采用深度神经网络进行多对象实例分割的方法,该方法能够通过bounding box监督训练,具有鲁棒性并能处理复杂场景中的遮挡问题,从而提高图像分类精度。
Abstract
Analyzing complex scenes with
deep neural networks
is a challenging task, particularly when images contain multiple objects that partially occlude each other. Existing approaches to
image analysis
mostly process
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